Analyses of PO-Based Fuzzy Logic-Controlled MPPT and Incremental Conductance MPPT Algorithms in PV Systems
This manuscript aims to increase the utilization of solar energy, which is both environmentally friendly and easily accessible, to satisfy the energy needs of developing countries. In order to achieve this goal, maximum power generation should be provided from photovoltaic panels. Several maximum po...
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2025-01-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/2/233 |
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| author | Fevzi Çakmak Zafer Aydoğmuş Mehmet Rıda Tür |
| author_facet | Fevzi Çakmak Zafer Aydoğmuş Mehmet Rıda Tür |
| author_sort | Fevzi Çakmak |
| collection | DOAJ |
| description | This manuscript aims to increase the utilization of solar energy, which is both environmentally friendly and easily accessible, to satisfy the energy needs of developing countries. In order to achieve this goal, maximum power generation should be provided from photovoltaic panels. Several maximum power point tracking (MPPT) methods are utilized for maximum power generation in photovoltaic panel systems under different weather conditions. In this paper, a novel intelligent hybrid fuzzy logic-controlled maximum power point tracking algorithm founded on the perturb and observe (PO) algorithm is presented. The proposed fuzzy logic controller algorithm and the incremental conductivity maximum power point tracking algorithm were simulated in a MATLAB(2018b version)/Simulink environment and evaluated by comparing the results. Four Sharp ND-F4Q295 solar panels, two in series and two in parallel, were used for the simulation. In this study, the voltage ripple of the proposed hybrid method was measured at 1% compared to the classical incremental conductivity method, while it was 8.6% in the IncCon method. Similarly, the current ripple was 1.08% in the proposed hybrid FLC method, while the current ripple was 9.27% in the IncCon method. It is observed that the proposed smart method stabilizes the system voltage faster, at 25 ms, in the event of sudden weather changes. |
| format | Article |
| id | doaj-art-da3e2a53ca0849c698156de8ad46ecbe |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-da3e2a53ca0849c698156de8ad46ecbe2025-01-24T13:30:44ZengMDPI AGEnergies1996-10732025-01-0118223310.3390/en18020233Analyses of PO-Based Fuzzy Logic-Controlled MPPT and Incremental Conductance MPPT Algorithms in PV SystemsFevzi Çakmak0Zafer Aydoğmuş1Mehmet Rıda Tür2Midyat Vocational School, Mardin Artuklu University, Mardin 47500, TurkeyFaculty of Technology, Electrical and Electronics Engineering, Firat University, Elazığ 23000, TurkeyFaculty of Engineering, Electrical and Electronics Engineering, Batman University, Batman 72000, TurkeyThis manuscript aims to increase the utilization of solar energy, which is both environmentally friendly and easily accessible, to satisfy the energy needs of developing countries. In order to achieve this goal, maximum power generation should be provided from photovoltaic panels. Several maximum power point tracking (MPPT) methods are utilized for maximum power generation in photovoltaic panel systems under different weather conditions. In this paper, a novel intelligent hybrid fuzzy logic-controlled maximum power point tracking algorithm founded on the perturb and observe (PO) algorithm is presented. The proposed fuzzy logic controller algorithm and the incremental conductivity maximum power point tracking algorithm were simulated in a MATLAB(2018b version)/Simulink environment and evaluated by comparing the results. Four Sharp ND-F4Q295 solar panels, two in series and two in parallel, were used for the simulation. In this study, the voltage ripple of the proposed hybrid method was measured at 1% compared to the classical incremental conductivity method, while it was 8.6% in the IncCon method. Similarly, the current ripple was 1.08% in the proposed hybrid FLC method, while the current ripple was 9.27% in the IncCon method. It is observed that the proposed smart method stabilizes the system voltage faster, at 25 ms, in the event of sudden weather changes.https://www.mdpi.com/1996-1073/18/2/233boost converterfuzzy logic algorithmincremental conductivity algorithmmaximum power point trackersphotovoltaic systems |
| spellingShingle | Fevzi Çakmak Zafer Aydoğmuş Mehmet Rıda Tür Analyses of PO-Based Fuzzy Logic-Controlled MPPT and Incremental Conductance MPPT Algorithms in PV Systems Energies boost converter fuzzy logic algorithm incremental conductivity algorithm maximum power point trackers photovoltaic systems |
| title | Analyses of PO-Based Fuzzy Logic-Controlled MPPT and Incremental Conductance MPPT Algorithms in PV Systems |
| title_full | Analyses of PO-Based Fuzzy Logic-Controlled MPPT and Incremental Conductance MPPT Algorithms in PV Systems |
| title_fullStr | Analyses of PO-Based Fuzzy Logic-Controlled MPPT and Incremental Conductance MPPT Algorithms in PV Systems |
| title_full_unstemmed | Analyses of PO-Based Fuzzy Logic-Controlled MPPT and Incremental Conductance MPPT Algorithms in PV Systems |
| title_short | Analyses of PO-Based Fuzzy Logic-Controlled MPPT and Incremental Conductance MPPT Algorithms in PV Systems |
| title_sort | analyses of po based fuzzy logic controlled mppt and incremental conductance mppt algorithms in pv systems |
| topic | boost converter fuzzy logic algorithm incremental conductivity algorithm maximum power point trackers photovoltaic systems |
| url | https://www.mdpi.com/1996-1073/18/2/233 |
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